Disclosure Detection over Data Streams in Database Publishing

Deming Dou 1 Stéphane Coulondre 1
1 BD - Base de Données
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : As huge amount of personal data collected into databases of service providers increase, so does the risk of private information disclosure. Recently, a number of privacy-preserving techniques have been proposed, however, they are either pre-controls or post-controls and limited in protection of privacy without information loss or distortion, quite a few techniques can be seen among literatures for detecting information disclosure in the process of data transmission. In this paper, we focus on disclosure detection related to database publishing, and present a novel approach of detecting privacy leakages over data streams on querying databases by using dynamic pattern matching and data stream processing techniques. Experimental results via Cayuga system verified the feasibility of our proposal.
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Communication dans un congrès
Sascha Müller-Feuerstein, Bernhard Volz, Kjell Orsborn, Silvia Stefanova. Joint EDBT/ICDT Ph.D. Workshop 2011, Mar 2011, Uppsala, Sweden. ACM, pp.8-13, 2011, 〈10.1145/1966874.1966876〉
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https://hal.archives-ouvertes.fr/hal-01354389
Contributeur : Équipe Gestionnaire Des Publications Si Liris <>
Soumis le : jeudi 18 août 2016 - 19:25:19
Dernière modification le : vendredi 10 novembre 2017 - 01:19:32

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Deming Dou, Stéphane Coulondre. Disclosure Detection over Data Streams in Database Publishing. Sascha Müller-Feuerstein, Bernhard Volz, Kjell Orsborn, Silvia Stefanova. Joint EDBT/ICDT Ph.D. Workshop 2011, Mar 2011, Uppsala, Sweden. ACM, pp.8-13, 2011, 〈10.1145/1966874.1966876〉. 〈hal-01354389〉

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